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Product Development

AI Product Development

Data-intensive and AI-native products, shipped as thin vertical slices and handed over as something you can operate.

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Delivery leads online — talk to a human, not a bot
2 wksTo a costed roadmap
6 wksTo first production
YoursOwned at handover
Product DevelopmentRepresentative engagement
REVENUEon trackFORECASTin bandCASH CYCLEhealthyCONTRIBUTION BY CHANNELTOP DRIVERSPromo depthLead timeAssortmentRegion mix

100% delivery success — delivered worldwide across seven regions

AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain

What you get

Where AI Product Development earns its place

Data & AI products with a P&L behind them.

  • Thin vertical slices to production
  • Operable, documented handover
  • A P&L behind the roadmap
Product DevelopmentTypical first quarter
SOURCESGOVERNED PLATFORMDECISIONSERPsapCRMsalesforceWeb & appeventsFinancespreadsheetsIngest & contractschema testsModel & governdbt · lineageServe & securerow-level accessLive dashboardsself-serveForecastsdemand · cashAI agentswith guardrailsPIPELINE HEALTH · LAST 24HFRESHNESS: LIVETESTS PASSINGPIPELINE HEALTHY

Tools & platforms

What we build it with

The stack MOD actually delivers this on.

ReactNestJSFastAPILangChainPostgreSQL

Delivery model

How the work actually runs

One delivery model, whatever the engagement. You always know what is shipping this week and what it is worth.

01

Discovery

We map your sources, decisions and blockers, understand the business goal, and agree what success looks like before anything is built.

02

Solution design

We design the architecture, data models and use cases — right-sized to your team and your cloud — and cost the work before you commit.

03

Development

Weekly sprints against a visible backlog: pipelines, models, dashboards and applications, all in version control and yours from day one.

04

Testing & validation

Every pipeline and model is tested — with frameworks like PyTest and Great Expectations — so the numbers are trustworthy before they ship.

05

Deployment & training

We deploy into your cloud and train the people who will run it, so the capability lands with your team, not just our code.

06

Support & optimisation

Observability, alerting and continuous improvement keep the system fast, accurate and cost-efficient long after go-live.

FAQ

Questions buyers actually ask

Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.

Ask a question

One with a model at its centre — recommendation, generation or scoring — designed with evaluation and a fallback path. ModTalk (an AI chatbot platform) and a text-to-SQL platform are examples.

Yes — code, prompts and evaluation sets sit in your repositories from day one.

Next step

Ready to find out what your data is worth?

Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.